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🦾 🤖 Project CrowdBot
Problem: Limited Access to High-Quality Training Data
State-of-the-art foundational robotics models today rely on large datasets of private teleoperation data, accessible only to well-funded organizations, creating a barrier to innovation.
The datasets available today are all static and made by universities using robots > $10,000. There is no high-quality dataset that anyone can contribute to who doesn't have a professional budget.
Solution: Crowdsourcing an Open Robotics Dataset
Project CrowdBot seeks to democratize robotics by building a high-quality, open dataset for training state-of-the-art models. By enabling anyone to access and contribute data, CrowdBot fosters broader advancements in robotics.
How YOU can Contribute
- Build your own low-cost robot
- Collect labeled teleoperation data, such as folding a size-M t-shirt
- Upload your data to CrowdBot's Huggingface page via pull request
How to use the dataset
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